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In machine learning, ensemble methods combine multiple algorithms to make a prediction. Bagging, boosting and stacking are some examples.

31 votes

US Election results 2016: What went wrong with prediction models?

This was mentioned in the comments on the accepted answer (hat-tip to Mehrdad), but I think it should be emphasized. 538 actually did this quite well this cycle*. 538 is a polling aggregator that run …
T.E.D.'s user avatar
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